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@article{144714,
        author = {Ms.Vedvati S Zankar and Mr.C.G.Patil},
        title = {Effective Optic Disc and Optic Cup Segmentation for Glaucoma Screening},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {2},
        pages = {242-248},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=144714},
        abstract = {Glaucoma is a chronic eye disease in which the optic nerve is progressively damaged which finally results in blindness. The symptoms are seen only when the disease is in its advanced stages. Glaucoma cannot be cured, but its progression can be slowed down by treatment. Hence, detecting glaucoma in time is very important issue. At present the assessment of raised Intraocular Pressure (IOP) method is used to detect glaucoma. Here the features are normally computed at the image-level and these image features are used for a binary classification between glaucomatous and healthy subjects.  Manual assessment is subjective, time consuming and expensive. In these methods, selection of features and classification strategy is difficult and challenging. 3D images are not easily available and High cost of getting 3D images makes it improper for a large-scale population screening program. This motivates us to propose the system that focuses on automatic glaucoma screening using cup to disk ratio (CDR) from 2D fundus images. The system proposes superpixel classification based optic disc and cup segmentations for glaucoma screening. In this approach, preprocessing such as image filtration, color contrast enhancement, image segmentation and classification using texture, thresholding and morphological operation are to be performed. Based on this segmented disc and cup, CDR is computed for glaucoma screening. For experimentation the data base from Eye hospitals as well as the readily available data base is used. It is expected that this algorithm would provide better results than the existing method. Low cost and reduced computational complexity may also be the features of proposed system.},
        keywords = {Optic disc segmentation, optic cup segmentation, glaucoma screening},
        month = {},
        }